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Banking Observability at Scale

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Productized open-source into a banking-grade Monitoring Data Pipeline (MDPL) that runs thousands of tenants by sharding Prometheus and Grafana on Kubernetes, using 5,000–6,000 Prometheus instances and ~1,700–2,000 Grafana instances, Envoy for load balancing, Mimir (monolith on VMs) as long-term store with S3-compatible storage, Kafka for transport, and a security proxy plus AD/OpenID access control. Control plane uses a resource-manager (touchpoint) with custom CRDs, OPA policies and 4-eyes approvals; demo shows CLI provisioning, Prometheus → Mimir via remote_write, and dashboards wired automatically.

AI-written summary · about

  1. 0:00Banking observability intro
  2. 1:04Legacy to self-service observability
  3. 2:29Observability architecture design
  4. 3:32Kubernetes sharding strategy
  5. 5:15Mimir and S3 availability
  6. 6:59Grafana security proxy
  7. 8:44Data flow to storage
  8. 9:04Prometheus Grafana service
  9. 13:01Self-service observability demo
  10. 19:47Mimir and OpenTelemetry plans
  11. 20:50Q&A
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